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Jobs ~ PLEASE NOTE:

The MATE website is no longer actively posting new job announcements. New job announcements can now be viewed and posted on the MTS Career Center Website <https://mtsociety.careerwebsite.com/>. You can click on the Post a Job button directly from the Marine Technology Society Career Center page to submit a new posting. Thank you!

Data Engineer

Back to all Jobs
06-Jul-21 07:22 PM
URL: http://www.scootscience.com/careers
Company / Organization: Scoot Science
Type: Full-time
City: Remote
Application Deadline: 31-Jul-21
Description:

We are hiring enterprising and motivated software engineers and computer scientists with excellent development and coding skills. These team members will contribute to our SeaState Dashboard, bridging the gap between ocean sensors, data infrastructure, and user experience for our aquaculture customers. Apply here: http://www.scootscience.com/careers


Requirements:

BS or graduate degree in Computer Science or related technical field, or equivalent experience Extensive hands-on experience developing and scaling web-based applications, preferably in a SaaS environment Deep knowledge of some of our tech stack, like Python, Postgres, GraphQL, Airflow, Github, K8s, Jenkins, serverless computing frameworks (e.g., AWS Lambda), and RESTful APIs Cloud DevOps experience, especially in AWS infrastructure Experience with geospatial data pipelines or relevant tools (e.g., netcdf, zarr, xarray, dask, PostGIS, GDAL, etc.). Comfort working from the command line Ability to weigh relative costs and benefits of development time, computational resources, etc, of various technical approaches Creativity and the ability to solve complex problems without a roadmap Emphasis in writing clear, well documented, and modular code Proven experience working in a collaborative, remote team environment Recognition that work is a marathon and that quality of work time is more important than quantity


Point of Contact: Evan

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This material is based upon work supported by the National Science Foundation under Grant Numbers DRL/ITEST 1312333 and DUE/ATE 1104310.  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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